Gold nanoparticle/MXene for multiple and sensitive detection of oncomiRs based on synergetic signal amplification
- Authors
- Mohammadniaei, Mohsen; Koyappayil, Aneesh; Sun, Yi; Min, Junhong; Lee, Min-Ho
- Issue Date
- 1-Jul-2020
- Publisher
- ELSEVIER ADVANCED TECHNOLOGY
- Keywords
- MicroRNA; Multiple detection; Electrochemical; Biosensor; Duplex specific nuclease; MXene
- Citation
- BIOSENSORS & BIOELECTRONICS, v.159
- Journal Title
- BIOSENSORS & BIOELECTRONICS
- Volume
- 159
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/41919
- DOI
- 10.1016/j.bios.2020.112208
- ISSN
- 0956-5663
1873-4235
- Abstract
- Multiple and sensitive detection of oncomiRs for accurate cancer diagnostics is still a challenge. Here, a synergetic amplification strategy was introduced by combining a MXene-based electrochemical signal amplification and a duplex-specific nuclease (DSN)-based amplification system for rapid, attomolar and concurrent quantification of multiple microRNAs on a single platform in total plasma. Synthesized MXene-Ti3C2Tx modified with 5 nm gold nanoparticles (AuNPs) was tasted on a dual screen-printed gold electrode to host vast numbers of DNA probes identically co-immobilized on dedicated electrodes. Interestingly, presence of MXene provided biofouling resistance and enhanced the electrochemical signals by almost 4 folds of magnitude, attributed to its specious surface area and remarkable charge mobility. The 5 nm AuNPs were perfectly distributed within the whole flaky architect of the MXene to give rise to the electrochemical performance of MXene and provide the thiol-Au bonding feature. This synergetic strategy reduced the DSN-based biosensors' assay time to 80 min, provided multiplexability, antifouling activity, substantial sensitivity and specificity (single mutation recognition). The limit of detection of the proposed biosensor for microRNA-21 and microRNA-141 was respectively 204 aM and 138 aM with a wide linear range from 500 aM to 50 nM. As a proof of concept, this newly-developed strategy was coupled with a 96-well adaptive sensing device to successfully profile three cancer plasma samples based on their altered oncomiR abundances.
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